Result for 10E4B16B2F98C62145E719BB75B92EF0A68F131A

Query result

Key Value
FileName./usr/share/pyshared/mpl_toolkits/basemap/__init__.py
FileSize228501
MD50D00C18BFFA00935496C3C6847694F40
SHA-110E4B16B2F98C62145E719BB75B92EF0A68F131A
SHA-25603EC2D6F5ED31C799699D335FDD4A0D239D328FC83EE9A91EC3CE9D8D5A3C8BC
SSDEEP1536:5yMxUfuSCujHBWGtwkK3IpFjQcAoTBrNNt+oFecbtCerpRL2w8eOyJwB+nNpkWFE:5yuRujHltwVONtJOBesnQDba
TLSHT19724E919EB246675D343886E09ABE4032329A61737156A387D7DC1482F50B3CA3F9FED
hashlookup:parent-total5
hashlookup:trust75

Network graph view

Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize319088
MD5EA2252B202EB1BE250AC54A3998FAC67
PackageDescriptionmatplotlib toolkit to plot on map projections The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. PyNGL and CDAT are other libraries that provide similar capabilities in Python. . Basemap does not do any plotting on its own, but provides the facilities to transform coordinates to one of 23 different map projections (using the PROJ.4 C library). Matplotlib is then used to plot contours, images, vectors, lines or points in the transformed coordinates. Shoreline, river and political boundary datasets (from Generic Mapping Tools) are provided, along with methods for plotting them. The GEOS library is used internally to clip the coastline and polticial boundary features to the desired map projection region. . Basemap provides facilities for reading data in netCDF and Shapefile formats, as well as directly over http using OPeNDAP. This functionality is provided through the PyDAP client, and a Python interface to the Shapefile C library. . Basemap is geared toward the needs of earth scientists, particular oceanographers and meteorologists. The author originally wrote Basemap to help in his research (climate and weather forecasting), since at the time CDAT was the only other tool in Python for plotting data on map projections. Over the years, the capabilities of Basemap have evolved as scientists in other disciplines (such as biology, geology and geophysics) requested and contributed new features.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-mpltoolkits.basemap
PackageSectionpython
PackageVersion1.0.5+dfsg-1
SHA-100B1641188484C1244BE92B67D93D854BAA91B82
SHA-256F95F996257923B5C6FCE5B9590A38E5B6D136836E1E8E84F37A5E9EEACD75BE4
Key Value
FileSize332688
MD5E6AFB59529D459ADFD610C9969A2E8B9
PackageDescriptionmatplotlib toolkit to plot on map projections The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. PyNGL and CDAT are other libraries that provide similar capabilities in Python. . Basemap does not do any plotting on its own, but provides the facilities to transform coordinates to one of 23 different map projections (using the PROJ.4 C library). Matplotlib is then used to plot contours, images, vectors, lines or points in the transformed coordinates. Shoreline, river and political boundary datasets (from Generic Mapping Tools) are provided, along with methods for plotting them. The GEOS library is used internally to clip the coastline and polticial boundary features to the desired map projection region. . Basemap provides facilities for reading data in netCDF and Shapefile formats, as well as directly over http using OPeNDAP. This functionality is provided through the PyDAP client, and a Python interface to the Shapefile C library. . Basemap is geared toward the needs of earth scientists, particular oceanographers and meteorologists. The author originally wrote Basemap to help in his research (climate and weather forecasting), since at the time CDAT was the only other tool in Python for plotting data on map projections. Over the years, the capabilities of Basemap have evolved as scientists in other disciplines (such as biology, geology and geophysics) requested and contributed new features.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-mpltoolkits.basemap
PackageSectionpython
PackageVersion1.0.5+dfsg-1
SHA-128B1360F75318C83DDB1F88069C9DF8207310F4F
SHA-25692E338EEB59444E920BEC34718AD3219BAFC81364DB850156DBEAD28CA66B6BD
Key Value
FileSize288800
MD5CC1012922477AE92C4C942E85EE37FF0
PackageDescriptionmatplotlib toolkit to plot on map projections The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. PyNGL and CDAT are other libraries that provide similar capabilities in Python. . Basemap does not do any plotting on its own, but provides the facilities to transform coordinates to one of 23 different map projections (using the PROJ.4 C library). Matplotlib is then used to plot contours, images, vectors, lines or points in the transformed coordinates. Shoreline, river and political boundary datasets (from Generic Mapping Tools) are provided, along with methods for plotting them. The GEOS library is used internally to clip the coastline and polticial boundary features to the desired map projection region. . Basemap provides facilities for reading data in netCDF and Shapefile formats, as well as directly over http using OPeNDAP. This functionality is provided through the PyDAP client, and a Python interface to the Shapefile C library. . Basemap is geared toward the needs of earth scientists, particular oceanographers and meteorologists. The author originally wrote Basemap to help in his research (climate and weather forecasting), since at the time CDAT was the only other tool in Python for plotting data on map projections. Over the years, the capabilities of Basemap have evolved as scientists in other disciplines (such as biology, geology and geophysics) requested and contributed new features.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-mpltoolkits.basemap
PackageSectionpython
PackageVersion1.0.5+dfsg-1
SHA-1339AE77CB8211468641EFACE76E45360CE5CF8CE
SHA-256579CAE57F193F13CAD714559C14C83D3734F34893511B8554763407311D15652
Key Value
FileSize346378
MD50FB98BD07ADC3564931AEF244488DB62
PackageDescriptionmatplotlib toolkit to plot on map projections The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. PyNGL and CDAT are other libraries that provide similar capabilities in Python. . Basemap does not do any plotting on its own, but provides the facilities to transform coordinates to one of 23 different map projections (using the PROJ.4 C library). Matplotlib is then used to plot contours, images, vectors, lines or points in the transformed coordinates. Shoreline, river and political boundary datasets (from Generic Mapping Tools) are provided, along with methods for plotting them. The GEOS library is used internally to clip the coastline and polticial boundary features to the desired map projection region. . Basemap provides facilities for reading data in netCDF and Shapefile formats, as well as directly over http using OPeNDAP. This functionality is provided through the PyDAP client, and a Python interface to the Shapefile C library. . Basemap is geared toward the needs of earth scientists, particular oceanographers and meteorologists. The author originally wrote Basemap to help in his research (climate and weather forecasting), since at the time CDAT was the only other tool in Python for plotting data on map projections. Over the years, the capabilities of Basemap have evolved as scientists in other disciplines (such as biology, geology and geophysics) requested and contributed new features.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-mpltoolkits.basemap
PackageSectionpython
PackageVersion1.0.5+dfsg-1
SHA-1F157094CA265DB68EA581D92E4790E2367196F22
SHA-256D1CD3570893DCA2712D522CC0EE8A500FF84ADD12A4D6C93DC61DEA299A5D2A5
Key Value
FileSize293098
MD5E0FB257A720BCC6BCED4581A8BE30682
PackageDescriptionmatplotlib toolkit to plot on map projections The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python. It is similar in functionality to the matlab mapping toolbox, the IDL mapping facilities, GrADS, or the Generic Mapping Tools. PyNGL and CDAT are other libraries that provide similar capabilities in Python. . Basemap does not do any plotting on its own, but provides the facilities to transform coordinates to one of 23 different map projections (using the PROJ.4 C library). Matplotlib is then used to plot contours, images, vectors, lines or points in the transformed coordinates. Shoreline, river and political boundary datasets (from Generic Mapping Tools) are provided, along with methods for plotting them. The GEOS library is used internally to clip the coastline and polticial boundary features to the desired map projection region. . Basemap provides facilities for reading data in netCDF and Shapefile formats, as well as directly over http using OPeNDAP. This functionality is provided through the PyDAP client, and a Python interface to the Shapefile C library. . Basemap is geared toward the needs of earth scientists, particular oceanographers and meteorologists. The author originally wrote Basemap to help in his research (climate and weather forecasting), since at the time CDAT was the only other tool in Python for plotting data on map projections. Over the years, the capabilities of Basemap have evolved as scientists in other disciplines (such as biology, geology and geophysics) requested and contributed new features.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-mpltoolkits.basemap
PackageSectionpython
PackageVersion1.0.5+dfsg-1
SHA-16EFA46E81A6166DADA14781824459904D103E5A5
SHA-256B1F743B305FC85F4D4E97302670F20CADAC2371E61F90A78016B75078F7C31AA